Mixed model
This model is trained with 50% null plots and 50% not null plots. In
not null plots, there are three different violations namely
non-linearity, heteroskedasticiy and non-normality.
The following is its performance on the test set.
|
Metric
|
Estimator
|
Estimate
|
|
accuracy
|
binary
|
0.8362288
|
|
|
Not null
|
Null
|
|
Not null
|
5469
|
708
|
|
Null
|
1611
|
6372
|
|
Violation
|
Accuracy
|
Correct
|
Total
|
|
heter
|
0.7283333
|
1311
|
1800
|
|
non_normal
|
0.8172619
|
2746
|
3360
|
|
null
|
0.9000000
|
6372
|
7080
|
|
poly
|
0.7354167
|
1412
|
1920
|


The model predicts the following plot to be not null with \(\hat{p} = 55\%\).



The model predicts the following plots (\(b
= 64\)) with \(\hat{p} <
50\%\).









## [[1]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[2]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[3]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[4]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[5]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[6]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[7]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[8]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3
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## [[9]]
## Image. Width: 420 pix Height: 525 pix Depth: 1 Colour channels: 3

